Title :
Parallel random sampling with multiprocessor system
Author :
Lo, K.C. ; Purvis, A.
Author_Institution :
Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong
Abstract :
An anti-alias sampling sequence for spectral estimation can be formed by interlacing several additive random sampling sequences. This scheme exploits the trigonometrical symmetry to reduce up to 87% of the multiplications required in computing the first band of frequency components. The whole process, from sampling to computation, can be implemented by a multiprocessor system. With a variable threshold, a relatively weak signal can also be recovered
Keywords :
antialiasing; frequency estimation; parallel processing; signal detection; spectral analysis; additive random sampling sequences; anti-alias sampling sequence; interlacing; multiprocessor system; spectral estimation; trigonometrical symmetry; variable threshold,; weak signal; Additive noise; Discrete Fourier transforms; Fast Fourier transforms; Frequency; Instruments; Multiprocessing systems; Noise level; Sampling methods; Signal processing; Signal sampling;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.394140
